These files include data and estimation code for:

Boehmke, Frederick J.; Regina P. Branton; Gavin Dillingham; and Richard Witmer. 2012. 
  �Close Enough for Comfort? The Spatial Structure of Interest and Information in 
  Ballot Measure Elections.� The Journal of Politics 74(3): 827-839. 

Compiled on August 02, 2012 by Frederick J. Boehmke (frederick-boehmke@uiowa.edu).

INCLUDED:  

4 Stata data sets: 
 
  bbdw2012jop.dta 		The final data set for analysis.  
  newgamcas_1998.dta 		Distance to each tribe based on gaming and casino 
				status in 1998 before Proposition 5.
  newgamcas_2000.dta 		Distance to each tribe based on gaming and casino 
				status in 2000 based on non-Proposition 5 compacts.
  newgamcas_2000-B.dta 		Distance to each tribe based on gaming and casino 
				status after Proposition 5.

3 Stata do files:  
 
  bbdw2012jop-analyze.do 	Runs the models reported in the paper.  
  bbdw2012jop-simulate.do 	Calculates first differences to interpret the models. 
  bbdw2012jop-mkdata.do 	THe file we used to compile the data for analysis.  

1 README file: 
  
  bbdw2012jop-README.txt	Describes the included data and files.  


NOTES:

1. The data set was put together with the file bbdw2012jop-mkdata.do. We
	include that file here for reference, but have not included all of the 
	constitutive data sets to recreate it from scratch. Inclusion of the
	file is intended to clarify our coding decisions, variable creation,
	or variable modification schemes. The data set included here has only
	the relevant variables for replicating our results or performing
	alternative analyses discussed in the paper. 

2. The models are estimated by bbdw2012jop-analyze.do. 

3. The programs are written for Stata version 10 or above, though they may run in 
	previous versions.

4. Some parts of the interpretation require additional Stata add-on programs. To
	run everything as supplied, please install grinter.ado and the CLARIFY
	suite of programs.


VARIABLES:

Here are descriptions for all the variables included in the data set. See the paper for additional details. 

Variable					Description

county          int    %8.0g                  
fips            double %10.0f                 
tract           long   %12.0g                 
year            int    %9.0g                  
pre2000         byte   %9.0g                  Based on gaming compacts under Proposition 5
Prop5_yes       float  %9.0g                  Tract Vote for Prop 5 (%)
Prop1_yes       float  %9.0g                  Tract Vote for Prop 1A (%)
Prop29_yes      float  %9.0g                  Tract Vote for Prop 29 (%)
gaming_exp_0500 float  %9.0g                  gaming Exposure (d=-0.0500)
nongam_exp_0500 float  %9.0g                  nongam Exposure (d=-0.0500)
Rep_Pres        float  %9.0g                  Republican Presidential Vote
per_urban_tract float  %9.0g                  Percent Urban
med_age_tract   float  %9.0g                  Median Age
college_tract   float  %9.0g                  Percent College
inc_tract_1000  float  %9.0g                  Income
white_tract     float  %9.0g                  Percent White
indian_tract    float  %9.0g                  Percent Native American
crime_percap1K  float  %9.0g                  
pop2000         long   %12.0g                 (max) pop2000
casino_tribe_50 byte   %9.0g                  
gaming_tribe_50 byte   %9.0g                  
noncas_tribe_50 byte   %9.0g                  
nongam_tribe_50 byte   %9.0g                  
tribe_50        byte   %9.0g                  Tribes Within 50 Miles
casino_trib~100 byte   %9.0g                  
gaming_trib~100 byte   %9.0g                  
noncas_trib~100 byte   %9.0g                  
nongam_trib~100 byte   %9.0g                  
tribe_100       byte   %9.0g                  Tribes Within 100 Miles
close_gaming    float  %9.0g                  Miles to Closest Gaming Tribe
close_nongaming float  %9.0g                  (max) newclosest_nongaming
gaming_exp_2500 float  %9.0g                  gaming Exposure (d=-0.2500)
gaming_exp_1000 float  %9.0g                  gaming Exposure (d=-0.1000)
gaming_exp_0250 float  %9.0g                  gaming Exposure (d=-0.0250)
gaming_exp_0125 float  %9.0g                  gaming Exposure (d=-0.0125)
gaming_exp_0075 float  %9.0g                  gaming Exposure (d=-0.0075)
nongam_exp_2500 float  %9.0g                  nongam Exposure (d=-0.2500)
nongam_exp_1000 float  %9.0g                  nongam Exposure (d=-0.1000)
nongam_exp_0250 float  %9.0g                  nongam Exposure (d=-0.0250)
nongam_exp_0125 float  %9.0g                  nongam Exposure (d=-0.0125)
nongam_exp_0075 float  %9.0g                  nongam Exposure (d=-0.0075)
casino_exp_2500 float  %9.0g                  casino Exposure (d=-0.2500)
casino_exp_1000 float  %9.0g                  casino Exposure (d=-0.1000)
casino_exp_0500 float  %9.0g                  casino Exposure (d=-0.0500)
casino_exp_0250 float  %9.0g                  casino Exposure (d=-0.0250)
casino_exp_0125 float  %9.0g                  casino Exposure (d=-0.0125)
casino_exp_0075 float  %9.0g                  casino Exposure (d=-0.0075)
noncas_exp_2500 float  %9.0g                  noncas Exposure (d=-0.2500)
noncas_exp_1000 float  %9.0g                  noncas Exposure (d=-0.1000)
noncas_exp_0500 float  %9.0g                  noncas Exposure (d=-0.0500)
noncas_exp_0250 float  %9.0g                  noncas Exposure (d=-0.0250)
noncas_exp_0125 float  %9.0g                  noncas Exposure (d=-0.0125)
noncas_exp_0075 float  %9.0g                  noncas Exposure (d=-0.0075)
